Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
Communications of the ACM

When Images Fool AI Models

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...
JSTOR Daily

Multiple Objective Analysis of Input-Output Models for Emergency Management

This paper shows how a visual, interactive, dynamic multiple objective linear programming decision support system can effectively be used for analyzing input-output models. We have applied our ...
JSTOR Daily

Tests of Three Hypotheses Relating to the Leontief Input-Output Model

This paper examines three hypotheses central to the Leontief economic input-output model: (1) constant dollar coefficients are more stable than current dollar coefficients; (2) the intermediate ...
InfoWorld

Semantic Kernel: A bridge between large language models and your code

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...
Ars Technica

The generative AI revolution has begun—how did we get here?

Progress in AI systems often feels cyclical. Every few years, computers can suddenly do something they’ve never been able to do before. “Behold!” the AI true believers proclaim, “the age of artificial ...